SRA – A new architectural pattern for modern product engineering
Well-reasoned three-tier architecture, but lacks reference implementations and adoption proof.
Markdown report patterns that dodge HTML token bloat for LLM workflows.
Technical writers, LLM content creators, documentation teams
Pandoc · Remark.js · Quarto
https://github.com/sungreong/md-pattern-studio
While working with LLM-generated content, I noticed Markdown is great for writing or generating documents, but turning it into a nicely structured report is surprisingly awkward.
Typical approaches are:
- Convert Markdown to HTML using a renderer - Ask the LLM to generate full HTML
Both have issues. Markdown renderers are limited in layout control, and LLM-generated HTML often becomes verbose and expensive in tokens.
So I tried a different approach.
Instead of changing Markdown significantly, this project introduces a small set of patterns that allow structured layouts like:
- Cover pages - Sections - Multi-column layouts - Report-style blocks
The goal is to keep Markdown readable while still producing visually structured HTML.
This is still an early project, but I’m curious if others working with LLM-generated documents have run into the same issue.
Feedback is welcome.
Well-reasoned three-tier architecture, but lacks reference implementations and adoption proof.
Feather-light Rust+Tauri editor, but Obsidian, Typora, and VS Code already own the space.
Specific enterprise attack matrices for Entra and Okta beat generic OWASP Top 10 prompts.
Another Lexical-based Notion clone with collaboration still marked as planned, not working.
The repo shines by focusing on the rarely-curated, code-level side of architecture: 14 real ADR examples (Kubernetes KEPs, Rust RFCs, Spotify/Flutter docs) and a neat shortlist of architecture-verification tools (ArchUnit, Arkitect, Konsist, arch-go). It's a pragmatic, opinionated filter of 106 resources that will save time for teams hunting implementable patterns, but it remains a static list — no ranking, tagging, or runnable examples to speed adoption.
Failure-driven patterns for multi-agent LLM coordination, but narrow use case.